Construction of a Surface Roughness and Burr Size Prediction Model Through the Ensemble Learning Regression Method.
- Published in:
- Machines, 2025, v. 13, n. 6, p. 494, doi. 10.3390/machines13060494
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- Article
Works matching AU Niknam, Seyed Ali
Results: 20
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Author Correction: Using deep convolutional networks combined with signal processing techniques for accurate prediction of surface quality.
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- 2025
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- Publication type:
- Correction Notice
3
The use of acoustic emission information to distinguish between dry and lubricated rolling element bearings in low-speed rotating machines.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2013, v. 69, n. 9-12, p. 2679, doi. 10.1007/s00170-013-5222-4
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- Publication type:
- Article
4
Formability and fractography of AA5754/polyethylene/AA5754 sandwich composites.
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- Mechanics Based Design of Structures & Machines, 2022, v. 50, n. 4, p. 1253, doi. 10.1080/15397734.2020.1747488
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- Publication type:
- Article
5
Numerical modeling and experimental assessment of dynamic behavior of aluminum alloy 7075-T6 in machining process.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2024, v. 135, n. 3/4, p. 1131, doi. 10.1007/s00170-024-14547-y
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- Publication type:
- Article
6
Cryogenic milling of aluminum metal matrix composite A356-10%SiC: study of the tool wear size, morphology, and surface quality.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2024, v. 134, n. 1/2, p. 825, doi. 10.1007/s00170-024-14159-6
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- Publication type:
- Article
7
Sensitivity of acoustic emission signals features to cutting parameters in time domain: case of milling aeronautical aluminium alloys.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2024, v. 132, n. 1/2, p. 265, doi. 10.1007/s00170-024-13340-1
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- Publication type:
- Article
8
The use of wavelet transform to evaluate the sensitivity of acoustic emission signals attributes to variation of cutting parameters in milling aluminum alloys.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2023, v. 126, n. 7/8, p. 3039, doi. 10.1007/s00170-023-11305-4
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- Publication type:
- Article
9
Performance analysis of developed micro-textured cutting tool in machining aluminum alloy 7075-T6: assessment of tool wear and surface roughness.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2022, v. 119, n. 5/6, p. 3343, doi. 10.1007/s00170-021-08349-9
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- Publication type:
- Article
10
Effects of lubricants and flow rates on the surface roughness and chip thickness when MQL turning of aero-engine aluminum alloys 6061-T6 and 7076-T6.
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- International Journal of Advanced Manufacturing Technology, 2020, v. 110, n. 7/8, p. 2015, doi. 10.1007/s00170-020-05979-3
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- Publication type:
- Article
11
Optimization and prediction of surface quality and cutting forces in the milling of aluminum alloys using ANFIS and interval type 2 neuro fuzzy network coupled with population-based meta-heuristic learning methods.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2019, v. 105, n. 5/6, p. 2271, doi. 10.1007/s00170-019-04309-6
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- Publication type:
- Article
12
The use of support vector machine, neural network, and regression analysis to predict and optimize surface roughness and cutting forces in milling.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2019, v. 105, n. 1-4, p. 951, doi. 10.1007/s00170-019-04227-7
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- Publication type:
- Article
13
Tool wear characterization in high-speed milling of titanium metal matrix composites.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2019, v. 100, n. 9-12, p. 2901, doi. 10.1007/s00170-018-2651-0
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- Publication type:
- Article
14
Turning titanium metal matrix composites (Ti-MMCs) with carbide and CBN inserts.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2018, v. 97, n. 1-4, p. 253, doi. 10.1007/s00170-018-1926-9
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- Publication type:
- Article
15
Mechanical deburring and edge-finishing processes for aluminum parts -- a review.
- Published in:
- International Journal of Advanced Manufacturing Technology, 2018, v. 95, n. 1-4, p. 1101, doi. 10.1007/s00170-017-1288-8
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- Publication type:
- Article
16
Simultaneous use of Acoustic Emission Signals and Statistical Analysis to Distinguish between Lubrication Modes in Rolling Element Bearings.
- Published in:
- International Journal of Advanced Design & Manufacturing Technology, 2018, v. 11, n. 4, p. 81
- By:
- Publication type:
- Article
17
Finite Element Modeling and Experimental Validation of AA 5052-H34 Machining: A Comprehensive Study on Chip Morphology and Temperature Analysis.
- Published in:
- Applied Mechanics, 2024, v. 5, n. 1, p. 102, doi. 10.3390/applmech5010007
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- Publication type:
- Article
18
Experimental Characterization of Tool Wear Morphology and Cutting Force Profile in Dry and Wet Turning of Titanium Metal Matrix Composites (Ti-MMCs).
- Published in:
- Metals (2075-4701), 2020, v. 10, n. 11, p. 1459, doi. 10.3390/met10111459
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- Publication type:
- Article
19
Milling Al520-MMC Reinforced with SiC Particles and Additive Elements Bi and Sn.
- Published in:
- Materials (1996-1944), 2022, v. 15, n. 4, p. 1533, doi. 10.3390/ma15041533
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- Publication type:
- Article
20
Study of the Effects of Initial Cutting Conditions and Transition Period on Ultimate Tool Life when Machining Inconel 718.
- Published in:
- Materials (1996-1944), 2021, v. 14, n. 3, p. 592, doi. 10.3390/ma14030592
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- Publication type:
- Article